Finding a Way: Modeling Landscape Prerequisites for Roman and Early‐Medieval Routes in the Netherlands

Lanen, Rowin J. van; Kosian, Menne; Groenewoudt, Bert J.; Jansma, E.

doi:10.1002/gea.21510

Cited by 25 publications

(43 citation statements)

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“…the shortest distance between two settlements following the most accessible areas (Van Lanen et al, 2015b). As was already stated by Van Lanen et al (2015a, p. 214, 2015b, the next necessary steps for the network-friction method are to: 1) test its applicability on a more detailed regional level and for a different historical period and 2) to compare the models' outcome with results from other route-network reconstruction methods, such as the extraction of roads and paths from ALS data, and the study of historically attested routes.…”

Section: Introductionmentioning

confidence: 51%

“…agricultural and building activities). However, these same dynamics through routenetwork modelling enable us to calculate the probable location of many of these vanished routes, since not every region is equally suitable for travel and transport and therefore for hosting (persistent) route networks (Van Lanen et al, 2015a, 2016Van Lanen, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Recently Van Lanen et al (2015a) developed a network-friction model (NFM) in order to reconstruct Roman and early-medieval route networks. Following the definition by Van Lanen et al, "network friction is the variable that determines potential regional accessibility based on the comparison of local and surrounding landscape factors" (2015a, 200-201).…”

Section: Introductionmentioning

confidence: 99%

“…Van Lanen et al (2015a, 2015b) developed a new method for reconstructing large-scale (supraregional) route networks in the past. In this paper we investigate the applicability of this method and a more traditional least-cost path approach in order to improve our understanding of the layout of partly-vanished historical route networks on a regional scale.…”

Section: Introductionmentioning

confidence: 99%

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Finding Vanished Routes: Applying a Multi-modelling Approach on Lost Route and Path Networks in the Veluwe Region, the Netherlands

Vletter

Lanen

2018

RUR LANDSC

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Route networks are influenced by cultural and environmental dynamics. Consequently, route networks themselves often are dynamic as well. This is especially true in lowland areas, such as the Netherlands, where environmental processes (e.g. geomorphological changes, floods) probably reshaped these networks numerous times. Many of the existing route networks in the Netherlands were established relatively recently, and little is known of their historical predecessors. Recent developments in spatial modelling may improve locating and analysing these old, vanished routes.In this study we have applied two recently-developed applications for historical-route network modelling to the Veluwe (the Netherlands) in order to reconstruct the route network in the region around AD 1500. This region is not densely cultivated and is known to have a long history of routes and paths running through the landscape. The first method, network friction, uses high-resolution geoscientific and cultural data to calculate potential movement corridors and probable route zones. The second method uses a more traditional least-cost path (LCP) model based on surface, groundwater level and slope. The usefulness of these approaches for reconstructing past route networks and the general added value of these approaches was assessed by comparing the reconstructions to the few existing spatial overviews of historical-route networks in this region and hollow ways extracted from Airborne Laser Scanning (ALS) data.Our findings show that the results of the first method, network-friction modelling, correspond best with the comparison data regarding known routes in the study area. However, the general results point towards the necessity of integrating the two applied methods, since a combination of these models best reflects the multiscale variability within regional route networks.

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Section: Introductionmentioning

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Finding Vanished Routes: Applying a Multi-modelling Approach on Lost Route and Path Networks in the Veluwe Region, the Netherlands

Vletter

Lanen

2018

RUR LANDSC

Self Cite

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“…The least-cost path analysis, based on weighted terrain surface, is considered to be a valid method to explore the ancient transportation paths and find an optimal route with minimum cumulative cost from a certain site to another, in practice [39,46]. Particularly, the weighted topography in least-cost analysis has a great impact on the result [47], such that the optimal path may not always follow the Euclidean direction (straight line is the shortest way). The traveling costs are mostly influenced by slope or river networks in terrain surface [48].…”

Section: Least-cost Pathsmentioning

confidence: 99%

GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China

Zhu

Nie

Gao

et al. 2017

IJGI

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Abstract:The Silk Road opened during the Han Dynasty, and is significant in global cultural communication. Along this route in the central part of Xinjiang, the archaeological sites with defensive characteristics once provided a safeguard for this area. Reconstructing the defensive system is an important way to explore the ancient culture's propagation and the organizational structure of these sites. In this research, the compound visibility network with complex network analysis (CNA) and the least-cost paths based on the defensibility models from linear and logistic regression methods constitute the principle defensive structure. As possible transportation corridors, these paths are considered to be mostly fitted to each other in general, and are different from normal slope-based paths. The sites Kuhne Shahr and Agra play important roles for information control according to the CNA measures, while the sites Kuhne Shahr and Kuyux Shahr are considered to be crucial cities due to their positions and structural shapes. Some other sites, including Uzgen Bulak, Shah Kalandar, Chuck Castle, Caladar, and Qiuci, as well as some beacons, have important effects on defending the transportation corridors. This method is proven efficient for the study of the historical role of archaeological sites with defensive characteristics.

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Comparing geomorphological maps made manually and by deep learning

Meij

Meijles

Marcos

et al. 2022

Earth Surf Processes Landf

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Geomorphological maps provide information on the relief, genesis and shape of the earth's surface and are widely used in sustainable spatial developments. The quality of geomorphological maps is however rarely assessed or reported, which limits their applicability. Moreover, older geomorphological maps often do not meet current quality requirements and require updating. This updating is time-consuming and because of its qualitative nature difficult to reproduce, but can be supported by novel computational methods. In this paper, we address these issues by (1) quantifying the uncertainty associated with manual geomorphological mapping, (2) exploring the use of convolutional neural networks (CNNs) for semi-automated geomorphological mapping and (3) testing the sensitivity of CNNs to uncertainties in manually created evaluation data.We selected a test area in the Dutch push-moraine district with a pronounced relief and a high variety of landforms. For this test area we developed five manually created geomorphological maps and 27 automatically created landform maps using CNNs. The resulting manual maps are similar on a regional level. We could identify the causes of disagreement between the maps on a local level, which often related to differences in mapping experience, choices in delineation and different interpretations of the legend. Coordination of mapping efforts and field validation are necessary to create accurate and precise maps. CNNs perform well in identifying landforms and geomorphological units, but fail at correct delineation. The human geomorphologist remains necessary to correct the delineation and classification of the computed maps. The uncertainty in the manually created data that are used to train and evaluate CNNs have a large effect on the model performance and evaluation. This also advocates for coordinated mapping efforts to ensure the quality of manually created training and test data. Further model development and data processing are required before CNNs can act as standalone mapping techniques.

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Finding a Way: Modeling Landscape Prerequisites for Roman and Early‐Medieval Routes in the Netherlands

Cited by 25 publications

References 25 publications

Finding Vanished Routes: Applying a Multi-modelling Approach on Lost Route and Path Networks in the Veluwe Region, the Netherlands

Finding Vanished Routes: Applying a Multi-modelling Approach on Lost Route and Path Networks in the Veluwe Region, the Netherlands

GIS-Based Visibility Network and Defensibility Model to Reconstruct Defensive System of the Han Dynasty in Central Xinjiang, China

Comparing geomorphological maps made manually and by deep learning

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